Instructions to use jiiyy/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiiyy/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jiiyy/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jiiyy/classifier") model = AutoModelForSequenceClassification.from_pretrained("jiiyy/classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0de394b1fd3e85627d38205260878722084bef171008992fb172c14f1731ab7
- Size of remote file:
- 1.01 MB
- SHA256:
- 508df639d8abd9ad6ed6ebc0ed892f31fb7f1f091fe7a9cddec42dfd939e25fd
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